A Raman spectrometer arrangement comprising a Raman spectrometer 1 having a laser 1001 for illuminating a sample S and a spectrometer accessory 4 configured to be mounted on the spectrometer, wherein the spectrometer accessory comprises a surface configured to receive the sample S. The Raman spectrometer arrangement is configured to operate in at least a first configuration and a second configuration, wherein the first configuration is such that the laser 1001 illuminates the sample S before reaching a level of the surface and the second configuration is such that the laser 1001 reaches the level of the surface before illuminating the sample S.

The present invention is capable of centrally managing the operation type of a plurality of analysis apparatus and includes: one or more analysis apparatuses; and a management apparatus that acquires various data from each of the one or more analysis apparatuses and centrally manages the acquired data, wherein each of the one or more analysis apparatuses includes an operation type data acquisition part that acquires data of each preset operation type, and an operation type data transmission part that transmits the operation type data acquired by the operation type data acquisition part, and the management apparatus includes an operation type data reception part that receives the operation type data, and a display control part that displays a list of the operation type data received by the operation type data reception part for each of the one or more analysis apparatuses.

An imaging system includes: a first light source that emits first light having a spectrum including discrete first frequency components arranged at first frequency intervals; a second light source that emits second light having a spectrum including discrete second frequency components arranged at second frequency intervals, the second frequency intervals being different from the first frequency intervals; a mixing optical system that mixes the first light and the second light to generate third light including at least one optical beat the intensity of which changes at a beat frequency expressed by the difference between at least one of the discrete first frequency components and at least one of the discrete second frequency components; an imaCCging element having a variable sensitivity in an exposure period; and a control circuit that changes the sensitivity of the imaging element at the beat frequency of the at least one optical beat.

Aspects relate to a compact and low-cost gas analyzer that can be used for different types of gas analysis, such as air quality analysis. The gas analyzer can include a light source, a gas cell configured to receive a sample (e.g., a gas under test), a spectral sensor including a spectrometer and a detector, and an artificial intelligence (AI) engine. Light can enter the gas cell and interact with the sample to produce output light that may be measured by the spectral sensor. The resulting spectrum produced by the spectral sensor may be analyzed by the AI engine to produce a result. The gas analyzer further includes a self-calibration component configured to enable calibration of the sample spectrum to compensate for spectral drift of the spectral sensor.

An infrared (IR) imaging system for determining a concentration of a target species in an object is disclosed. The imaging system can include an optical system including a focal plane array (FPA) unit behind an optical window. The optical system can have components defining at least two optical channels thereof, said at least two optical channels being spatially and spectrally different from one another. Each of the at least two optical channels can be positioned to transfer IR radiation incident on the optical system towards the optical FPA. The system can include a processing unit containing a processor that can be configured to acquire multispectral optical data representing said target species from the IR radiation received at the optical FPA. One or more of the optical channels may be used in detecting objects on or near the optical window, to avoid false detections of said target species.

A non-contact system for the sensing the concentration of a compound includes a hyperspectral imaging device configured to capture a hyperspectral image of a fluid, a flow cell configured to enable the capturing of a hyperspectral image of a fluid, a process, and a memory. The memory includes instructions stored thereon which, when executed by the processor, cause the system to generate a hyperspectral image of the fluid in the flow cell, generate several spectral signals based on the hyperspectral image, provide the spectral signal as an input to a machine learning network, and predict by the machine learning network the concentration of a compound in a fluid.

A user device for imaging a scene includes a first plurality of optical sensors coupled to a substrate for collecting an image of a scene and a second plurality of optical sensors coupled to the substrate for collecting spectral information from the image. A plurality of sets of interference filters are associated with the second plurality of optical sensors, where each interference filter of a set of interference filters is configured to pass light in one of a plurality of wavelength ranges to one or more optical sensors of the second plurality of optical sensors and each optical sensor of the plurality of optical sensors is associated with a spatial area of the image. A processor is adapted to receive an output from the first plurality of optical sensors and the second plurality of optical sensors and determine, based on the spectral information, a target area within the scene. The processor is further adapted to retrieve focus data for the scene, determine a focus distance for the target area and output user-perceptible information to an output display.

Techniques are disclosed for a chemical sensor architecture based on a fabric-based spectrometer. An example apparatus implementing the techniques includes a portable spectrometer device including a first fabric layer and a second fabric layer coupled to the first fabric layer to form a pouch. The second fabric layer includes a fiber fabric spectrometer substrate comprising a fiber material including one or more electronic devices, wherein the pouch is configured to receive a colorimetric substrate and the fiber fabric spectrometer substrate is configured to measure reflectance of a colorimetric substrate disposed in the pouch.

A solid-state gas spectrometer for detection of molecules of target gases. An emitter generates light having wavelengths both within and outside of one or more absorption bands of a target molecule. The light provided by the emitter passes through an airway adapter. A reflective beam splitter splits the light transmitted through the airway adapter, into two convergent beams each focused on a light detector. One of the light detectors, which is covered by a filter that rejects light having wavelengths within one or more absorption bands of the target molecule, serves as the sensing detector. The other light detector, which may or may not be covered by a filter, serves as the reference detector. The concentration of a target gas molecule in the gas sample is estimated based on a differential signal that is generated using the signals received from the reference and sensing detectors.

An optical module includes a micro spectrometer. The micro spectrometer includes an optical crystal, a lens, and a photosensitive assembly. The optical crystal is configured to receive detection light and covert the detection light into interference light. The optical crystal is surrounded by a sleeve, the sleeve configured to fix a position of the optical crystal. The lens is configured for receiving the interference light and focusing the interference light. The photosensitive assembly is configured for imaging the interference light into an interference image. The optical module further comprises a controller. The controller is electrically connected to the photosensitive assembly, and the controller is used to convert the interference image into light wavelength signals and light intensity signals.